Resolution-Dependence of Extreme Wind Speed Projections in the Great Lakes Region

IF 4.8 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Climate Pub Date : 2024-03-20 DOI:10.1175/jcli-d-23-0547.1
Michael Morris, Paul J. Kushner, G.W.K. Moore, Oya Mercan
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Abstract

Abstract The effect of anthropogenic climate change on extreme near-surface wind speeds is uncertain. Observed trends are weak and difficult to disentangle from internal variability, and model projections disagree on the sign and magnitude of trends. Standard coarse-resolution climate models represent fine structures of relevant physical phenomena such as extratropical cyclones (ETCs), upper-level jet streaks, surface energy fluxes, and land surface variability less skillfully than their high-resolution counterparts. Here we use simulations with the NCAR Community Earth System Model with both uniform (110 km) resolution and the variable resolution configuration (VR-CESM-SONT, 110 km to 7 km), to study the effect of refined spatial resolution on projections of extreme strong and weak wind speeds in the Great Lakes region under end-of-century RCP8.5 forcing. The variable-resolution configuration projects strengthening of strong-wind events in the refined region with the opposite occurring in the uniform-resolution simulation. The two configurations provide consistent changes to synoptic scale circulations associated with high-wind events. However, only the variable resolution configuration projects weaker static stability, enhanced turbulent vertical mixing, and consequentially enhanced surface wind speeds, because boundary layer dynamics are better captured in the refined region. Both models project increased frequency of extreme weak winds, though only VR-CESM-SONT resolves the cold-season inversions and summertime high temperatures associated with stagnant wind events. The identifiable mechanism of the changes to strong winds in VR-CESM-SONT provides confidence in its projections and demonstrates the value of enhanced spatial resolution for the study of extreme winds under climate change.
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大湖区极端风速预测的分辨率依赖性
摘要 人为气候变化对极端近地面风速的影响尚不确定。观测到的趋势很微弱,很难与内部变异性区分开来,而模式预测对趋势的符号和幅度也存在分歧。标准的粗分辨率气候模式对相关物理现象(如热带气旋、高层喷流条纹、地表能量通量和陆地表面变率)的精细结构的表现不如高分辨率模式。在这里,我们利用 NCAR 群体地球系统模式的统一分辨率(110 公里)和可变分辨率配置(VR-CESM-SONT,110 公里至 7 公里)进行模拟,研究在本世纪末 RCP8.5 胁迫下,精细空间分辨率对大湖地区极端强风和弱风速预测的影响。可变分辨率配置预测了细化区域强风事件的加强,而统一分辨率模拟则与之相反。两种配置提供了与强风事件相关的同步尺度环流的一致变化。然而,只有可变分辨率配置预测静态稳定性减弱,湍流垂直混合增强,地表风速随之增大,因为边界层动力学在细化区域得到了更好的捕捉。尽管只有 VR-CESM-SONT 模型解决了与停滞风事件相关的冷季逆转和夏季高温问题,但两个模型都预测极端弱风的频率会增加。VR-CESM-SONT 中强风变化的可识别机制为其预测提供了信心,并证明了增强空间分辨率对于研究气候变化下极端风的价值。
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来源期刊
Journal of Climate
Journal of Climate 地学-气象与大气科学
CiteScore
9.30
自引率
14.30%
发文量
490
审稿时长
7.5 months
期刊介绍: The Journal of Climate (JCLI) (ISSN: 0894-8755; eISSN: 1520-0442) publishes research that advances basic understanding of the dynamics and physics of the climate system on large spatial scales, including variability of the atmosphere, oceans, land surface, and cryosphere; past, present, and projected future changes in the climate system; and climate simulation and prediction.
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